期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：693-698
出版社：Copernicus Publications
摘要：Building boundary data are necessary for the real estate industry, 3D city models and many other applications. In this study, a novel approach integrated high resolution imagery and Lidar data is proposed for automatically obtaining building boundaries with precise geometric position and details. The high resolution images were used to directly extract the building boundaries with precise geometric position, our approach is focused on improving the correctness and completeness of the extracted boundaries by integrating Lidar data. The approach consists of four steps: Lidar data processing, building image generation, line segment extraction, and boundary segment selection. Firstly, the segmented building points need to be determined from raw Lidar data. Then, a building image is generated by processing an original image using a bounding rectangle and a buffer, which are derived from the segmented building points. Based on the building image and rough principal direction constraints, an algorithm is proposed to estimate the principal orientations of a building, which ensures the accuracy and robustness of the subsequent line segments extraction. Finally, an algorithm based on Lidar point density analysis and Kmeans clustering is proposed to identify accurate boundary segments from the extracted line segments dynamically. The experiment results demonstrated that the proposed approach determined building boundaries well
关键词：Building boundary; High resolution image; Lidar data; Data integration
